---------------------------------------------------------------------------------------------------------------------------------------------
       log:  C:\a CAROL ISQ  article - 2006\DATA FOR POSTING - ISQ\table1a.log
  log type:  text
 opened on:   3 May 2006, 22:50:47

. set mem 10m
(10240k)

. set more off 

. ********************************************** 
. * 1 - Coherent Democracy - Education Exchange
. **********************************************
. version 8.2

. clear

. use "C:\a CAROL ISQ  article - 2006\DATA FOR POSTING - ISQ\dem-stset.dta", clear

. *use "dem-stset.dta"
. notes

_dta:
  1.  Data compiled by Carol Atkinson.
  2.  When using cite: Atkinson, Carol. 2006. Constructivist Implications of Material Power: Military Engagement and the Socialization of
      States 1972-2000. International Studies Quarterly. September.

. describe

Contains data from C:\a CAROL ISQ  article - 2006\DATA FOR POSTING - ISQ\dem-stset.dta
  obs:         1,358                          
 vars:            27                          3 May 2006 21:47
 size:       168,392 (98.4% of memory free)   (_dta has notes)
-------------------------------------------------------------------------------
              storage  display     value
variable name   type   format      label      variable label
-------------------------------------------------------------------------------
ccode           float  %9.0g                  
country         str24  %24s                   
abbrev          str8   %8s                    
year            float  %9.0g                  
polity2         float  %9.0g                  Polity2+10, inconsistencies
                                                removed from conversion of
                                                -66, -77, -88
IMETyesno       float  %9.0g                  IMET indicator,
                                                1=attendance/funding that year,
                                                0=not
Ally            float  %9.0g                  Alliance membership with the
                                                US, 1=yes, 0=no
USMil_normfor~l float  %9.0g                  US Military Overseas normalized
                                                by size of foreign military
USmil_sales_n~m float  %9.0g                  US military sales/GDP-current
USmilasst_norm  float  %9.0g                  US military
                                                assistance/GDP-current
USmilact_yesno  float  %9.0g                  1=threat, display, use of
                                                force, war; 0= no militarized
                                                action by US
soviet_foreig~t float  %9.0g                  Countries receiving foreign
                                                assistance from the USSR during
                                                the Cold War
USeconaid_norm  float  %9.0g                  US economic aid/GDP-current
newc            float  %9.0g                  New country in or after 1945
britcol         float  %9.0g                  Former British colony
open_i          float  %9.0g                  Trade openness indicator
GDP_rescaled    float  %9.0g                  GDP_PPP_per_capita / 1000
Ethnic_gp       float  %9.0g                  Percentage of the population
                                                that is of the country's
                                                largest ethnic group
muslim_majori~o float  %9.0g                  Muslim majority indicator,
                                                Muslims are at least 50%=1, 0
                                                otherwise
christian_maj~o float  %9.0g                  Christian majority indicator,
                                                Christians are at least 50%=1,
                                                0 otherwise
LatAm           float  %9.0g                  1=country in Central or South
                                                America, 0=not
mildictator     float  %9.0g                  Military dictatorship
                                                indicator, 1=military dictator,
                                                0=otherwise
ccode1          float  %9.0g                  
_st             byte   %8.0g                  
_d              byte   %8.0g                  
_t              byte   %10.0g                 
_t0             byte   %10.0g                 
-------------------------------------------------------------------------------
Sorted by:  ccode  year

. gen IMETyesnoxtime=IMETyesno*_t

. #delimit ;
delimiter now ;
. stcox 
> IMETyesno
> soviet_foreign_asst 
> USeconaid_norm 
> newc
> britcol
> open_i
> GDP_rescaled
> Ethnic_gp 
> muslim_majority_yesno
> christian_majority_yesno
> IMETyesnoxtime,
> bases(consoldem_surv) basehc(consoldem_hazard) basechazard(consoldem_cumhaz) nohr efron schoenfeld(sch*) scaledsch(sca*) cluster(ccode);

         failure _d:  demfail1 == 1
   analysis time _t:  timed1
                 id:  ccode1

Iteration 0:   log pseudolikelihood = -77.771015
Iteration 1:   log pseudolikelihood = -73.433093
Iteration 2:   log pseudolikelihood = -54.827734
Iteration 3:   log pseudolikelihood = -52.466169
Iteration 4:   log pseudolikelihood = -51.193787
Iteration 5:   log pseudolikelihood = -51.178181
Iteration 6:   log pseudolikelihood = -51.178141
Refining estimates:
Iteration 0:   log pseudolikelihood = -51.178141

Cox regression -- Efron method for ties

No. of subjects      =           89                Number of obs   =      1350
No. of failures      =           19
Time at risk         =         1350
                                                   Wald chi2(11)   =     52.82
Log pseudolikelihood =   -51.178141                Prob > chi2     =    0.0000

                                 (Std. Err. adjusted for 85 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
          _t |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   IMETyesno |   1.572308   1.568979     1.00   0.316    -1.502834     4.64745
soviet_for~t |   .9887874   .7533076     1.31   0.189    -.4876683    2.465243
USeconaid_~m |   23.86942   11.13459     2.14   0.032     2.046023    45.69282
        newc |   1.452924   .9390451     1.55   0.122     -.387571    3.293418
     britcol |  -1.081886   .7537278    -1.44   0.151    -2.559166     .395393
      open_i |  -.0165837   .0145734    -1.14   0.255    -.0451469    .0119796
GDP_rescaled |  -.6961492   .2777667    -2.51   0.012    -1.240562   -.1517365
   Ethnic_gp |   1.557786   1.269342     1.23   0.220    -.9300784     4.04565
muslim_maj~o |   2.431922   1.063989     2.29   0.022     .3465414    4.517303
christian_~o |   2.306497    1.30181     1.77   0.076    -.2450032    4.857997
IMETyesnox~e |  -.2045954   .2190888    -0.93   0.350    -.6340017    .2248108
------------------------------------------------------------------------------

. stphtest, detail;

      Test of proportional hazards assumption

      Time:  Time
      ----------------------------------------------------------------
                  |       rho            chi2       df       Prob>chi2
      ------------+---------------------------------------------------
      IMETyesno   |      0.03941         0.11        1         0.7408
      soviet_for~t|      0.08543         0.28        1         0.5941
      USeconaid_~m|      0.04541         0.06        1         0.8011
      newc        |      0.05463         0.12        1         0.7303
      britcol     |     -0.25583         2.86        1         0.0909
      open_i      |     -0.20271         3.48        1         0.0621
      GDP_rescaled|     -0.06826         0.28        1         0.5938
      Ethnic_gp   |     -0.25544         2.54        1         0.1110
      muslim_maj~o|      0.12343         0.79        1         0.3738
      christian_~o|      0.22358         3.29        1         0.0699
      IMETyesnox~e|     -0.15997         2.07        1         0.1507
      ------------+---------------------------------------------------
      global test |                     11.63       11         0.3921
      ----------------------------------------------------------------

note: robust variance-covariance matrix used.

. #delimit cr
delimiter now cr
. clear

. 
. ****************************************
. * 2 - Coherent Democracy - Ally with US
. ****************************************
. version 8.2

. clear

. use "C:\a CAROL ISQ  article - 2006\DATA FOR POSTING - ISQ\dem-stset.dta", clear

. *use "dem-stset.dta"
. #delimit ;
delimiter now ;
. stcox 
> Ally
> soviet_foreign_asst 
> USeconaid_norm 
> newc
> britcol
> open_i
> GDP_rescaled
> Ethnic_gp 
> muslim_majority_yesno
> christian_majority_yesno,
> bases(consoldem_surv) basehc(consoldem_hazard) basechazard(consoldem_cumhaz) nohr efron schoenfeld(sch*) scaledsch(sca*) cluster(ccode);

         failure _d:  demfail1 == 1
   analysis time _t:  timed1
                 id:  ccode1

Iteration 0:   log pseudolikelihood = -77.771015
Iteration 1:   log pseudolikelihood = -75.353991
Iteration 2:   log pseudolikelihood = -59.675871
Iteration 3:   log pseudolikelihood = -55.315982
Iteration 4:   log pseudolikelihood = -51.664893
Iteration 5:   log pseudolikelihood = -51.533745
Iteration 6:   log pseudolikelihood = -51.531901
Iteration 7:   log pseudolikelihood =   -51.5319
Refining estimates:
Iteration 0:   log pseudolikelihood =   -51.5319

Cox regression -- Efron method for ties

No. of subjects      =           89                Number of obs   =      1350
No. of failures      =           19
Time at risk         =         1350
                                                   Wald chi2(10)   =     37.90
Log pseudolikelihood =     -51.5319                Prob > chi2     =    0.0000

                                 (Std. Err. adjusted for 85 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
          _t |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        Ally |  -.7478331   .6577466    -1.14   0.256    -2.036993    .5413265
soviet_for~t |   1.204536   .8059594     1.49   0.135    -.3751155    2.784187
USeconaid_~m |   19.84786   9.131181     2.17   0.030     1.951069    37.74464
        newc |   .8801773   1.003712     0.88   0.381    -1.087063    2.847417
     britcol |   -.997105   .5853385    -1.70   0.088    -2.144347    .1501374
      open_i |  -.0163553     .01271    -1.29   0.198    -.0412665    .0085559
GDP_rescaled |  -.6920006   .3114021    -2.22   0.026    -1.302338   -.0816637
   Ethnic_gp |   1.226103   1.179598     1.04   0.299    -1.085867    3.538074
muslim_maj~o |   2.689163   1.106785     2.43   0.015     .5199053    4.858421
christian_~o |   2.699252   1.342217     2.01   0.044     .0685556    5.329948
------------------------------------------------------------------------------

. stphtest, detail;

      Test of proportional hazards assumption

      Time:  Time
      ----------------------------------------------------------------
                  |       rho            chi2       df       Prob>chi2
      ------------+---------------------------------------------------
      Ally        |     -0.09124         0.15        1         0.7010
      soviet_for~t|      0.00368         0.00        1         0.9749
      USeconaid_~m|     -0.00070         0.00        1         0.9967
      newc        |     -0.03751         0.06        1         0.8025
      britcol     |     -0.08535         0.09        1         0.7625
      open_i      |     -0.12228         0.75        1         0.3863
      GDP_rescaled|      0.01562         0.02        1         0.8881
      Ethnic_gp   |     -0.19142         1.46        1         0.2271
      muslim_maj~o|      0.14288         0.74        1         0.3894
      christian_~o|      0.18927         1.29        1         0.2566
      ------------+---------------------------------------------------
      global test |                      4.83       10         0.9021
      ----------------------------------------------------------------

note: robust variance-covariance matrix used.

. #delimit cr
delimiter now cr
. clear

. 
. ******************************************************
. * 3 - Coherent Democracy - US Military Troop Presence
. ******************************************************
. version 8.2

. clear

. use "C:\a CAROL ISQ  article - 2006\DATA FOR POSTING - ISQ\dem-stset.dta", clear

. *use "dem-stset.dta"
. #delimit ;
delimiter now ;
. stcox 
> USMil_normforeignMil
> soviet_foreign_asst 
> USeconaid_norm 
> newc
> britcol
> open_i
> GDP_rescaled
> Ethnic_gp 
> muslim_majority_yesno
> christian_majority_yesno,
> bases(consoldem_surv) basehc(consoldem_hazard) basechazard(consoldem_cumhaz) nohr efron schoenfeld(sch*) scaledsch(sca*) cluster(ccode);

         failure _d:  demfail1 == 1
   analysis time _t:  timed1
                 id:  ccode1

Iteration 0:   log pseudolikelihood = -77.771015
Iteration 1:   log pseudolikelihood = -75.289485
Iteration 2:   log pseudolikelihood = -59.257847
Iteration 3:   log pseudolikelihood = -55.595809
Iteration 4:   log pseudolikelihood = -51.468007
Iteration 5:   log pseudolikelihood =  -51.02277
Iteration 6:   log pseudolikelihood = -50.884859
Iteration 7:   log pseudolikelihood = -50.854969
Iteration 8:   log pseudolikelihood = -50.853553
Iteration 9:   log pseudolikelihood = -50.853551
Refining estimates:
Iteration 0:   log pseudolikelihood = -50.853551

Cox regression -- Efron method for ties

No. of subjects      =           89                Number of obs   =      1350
No. of failures      =           19
Time at risk         =         1350
                                                   Wald chi2(10)   =     47.32
Log pseudolikelihood =   -50.853551                Prob > chi2     =    0.0000

                                 (Std. Err. adjusted for 85 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
          _t |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
USMil_norm~l |  -63.82805   79.71609    -0.80   0.423    -220.0687    92.41262
soviet_for~t |   .9992312   .8459086     1.18   0.238    -.6587192    2.657182
USeconaid_~m |    18.2187   9.004117     2.02   0.043     .5709532    35.86644
        newc |   1.413971   1.049417     1.35   0.178    -.6428493    3.470791
     britcol |  -1.265128   .5840755    -2.17   0.030    -2.409895   -.1203606
      open_i |  -.0159037   .0119185    -1.33   0.182    -.0392635    .0074561
GDP_rescaled |  -.7046856    .340733    -2.07   0.039     -1.37251   -.0368613
   Ethnic_gp |   1.963857   1.220221     1.61   0.108    -.4277332    4.355447
muslim_maj~o |   2.696979   1.109457     2.43   0.015     .5224837    4.871474
christian_~o |   2.508919   1.227797     2.04   0.041     .1024805    4.915357
------------------------------------------------------------------------------

. stphtest, detail;

      Test of proportional hazards assumption

      Time:  Time
      ----------------------------------------------------------------
                  |       rho            chi2       df       Prob>chi2
      ------------+---------------------------------------------------
      USMil_norm~l|     -0.00297         0.00        1         0.9763
      soviet_for~t|      0.01003         0.01        1         0.9077
      USeconaid_~m|      0.02414         0.04        1         0.8348
      newc        |     -0.00353         0.00        1         0.9719
      britcol     |     -0.02399         0.02        1         0.8877
      open_i      |     -0.06462         0.30        1         0.5837
      GDP_rescaled|      0.01821         0.05        1         0.8277
      Ethnic_gp   |     -0.22639         1.55        1         0.2130
      muslim_maj~o|      0.11540         0.52        1         0.4729
      christian_~o|      0.13094         0.72        1         0.3958
      ------------+---------------------------------------------------
      global test |                      3.88       10         0.9527
      ----------------------------------------------------------------

note: robust variance-covariance matrix used.

. #delimit cr
delimiter now cr
. clear

. 
. *********************************************
. * 4 - Coherent Democracy - US Military Sales
. *********************************************
. version 8.2

. clear

. use "C:\a CAROL ISQ  article - 2006\DATA FOR POSTING - ISQ\dem-stset.dta", clear

. *use "dem-stset.dta"
. #delimit ;
delimiter now ;
. stcox 
> USmil_sales_norm
> soviet_foreign_asst 
> USeconaid_norm 
> newc
> britcol
> open_i
> GDP_rescaled
> Ethnic_gp 
> muslim_majority_yesno
> christian_majority_yesno,
> bases(consoldem_surv) basehc(consoldem_hazard) basechazard(consoldem_cumhaz) nohr efron schoenfeld(sch*) scaledsch(sca*) cluster(ccode);

         failure _d:  demfail1 == 1
   analysis time _t:  timed1
                 id:  ccode1

Iteration 0:   log pseudolikelihood = -77.771015
Iteration 1:   log pseudolikelihood = -60.408985
Iteration 2:   log pseudolikelihood = -53.654494
Iteration 3:   log pseudolikelihood = -52.006326
Iteration 4:   log pseudolikelihood = -51.757684
Iteration 5:   log pseudolikelihood = -51.746855
Iteration 6:   log pseudolikelihood =  -51.74683
Refining estimates:
Iteration 0:   log pseudolikelihood =  -51.74683

Cox regression -- Efron method for ties

No. of subjects      =           89                Number of obs   =      1350
No. of failures      =           19
Time at risk         =         1350
                                                   Wald chi2(10)   =     55.01
Log pseudolikelihood =    -51.74683                Prob > chi2     =    0.0000

                                 (Std. Err. adjusted for 85 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
          _t |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
USmil_sale~m |  -122.3863   159.6929    -0.77   0.443    -435.3785     190.606
soviet_for~t |   1.159072   .7340268     1.58   0.114    -.2795944    2.597738
USeconaid_~m |   19.12589    9.44727     2.02   0.043     .6095772    37.64219
        newc |   1.477145   .9444644     1.56   0.118    -.3739712    3.328261
     britcol |  -1.162855   .5426368    -2.14   0.032    -2.226404   -.0993068
      open_i |  -.0145271   .0126872    -1.15   0.252    -.0393935    .0103393
GDP_rescaled |  -.6664644   .3032637    -2.20   0.028     -1.26085   -.0720784
   Ethnic_gp |   1.292149   1.151712     1.12   0.262    -.9651642    3.549462
muslim_maj~o |   2.577943   1.006763     2.56   0.010     .6047243    4.551161
christian_~o |   2.348759   1.196041     1.96   0.050     .0045625    4.692956
------------------------------------------------------------------------------

. stphtest, detail;

      Test of proportional hazards assumption

      Time:  Time
      ----------------------------------------------------------------
                  |       rho            chi2       df       Prob>chi2
      ------------+---------------------------------------------------
      USmil_sale~m|      0.30202         1.28        1         0.2586
      soviet_for~t|     -0.03154         0.07        1         0.7925
      USeconaid_~m|      0.03386         0.04        1         0.8378
      newc        |      0.00048         0.00        1         0.9972
      britcol     |     -0.15355         0.27        1         0.6067
      open_i      |     -0.16807         1.62        1         0.2027
      GDP_rescaled|     -0.01460         0.02        1         0.8990
      Ethnic_gp   |     -0.23704         1.91        1         0.1667
      muslim_maj~o|      0.13003         0.57        1         0.4511
      christian_~o|      0.20470         1.66        1         0.1983
      ------------+---------------------------------------------------
      global test |                      6.11       10         0.8056
      ----------------------------------------------------------------

note: robust variance-covariance matrix used.

. #delimit cr
delimiter now cr
. clear

. 
. ************************************************* 
. * 5 - Coherent Democracy - US Miltary Assistance
. ************************************************* 
. version 8.2

. clear

. use "C:\a CAROL ISQ  article - 2006\DATA FOR POSTING - ISQ\dem-stset.dta", clear

. *use "dem-stset.dta"
. #delimit ;
delimiter now ;
. stcox 
> USmilasst_norm
> soviet_foreign_asst 
> USeconaid_norm 
> newc
> britcol
> open_i
> GDP_rescaled
> Ethnic_gp 
> muslim_majority_yesno
> christian_majority_yesno,
> bases(consoldem_surv) basehc(consoldem_hazard) basechazard(consoldem_cumhaz) nohr efron schoenfeld(sch*) scaledsch(sca*) cluster(ccode);

         failure _d:  demfail1 == 1
   analysis time _t:  timed1
                 id:  ccode1

Iteration 0:   log pseudolikelihood = -77.771015
Iteration 1:   log pseudolikelihood =  -60.37994
Iteration 2:   log pseudolikelihood = -53.641023
Iteration 3:   log pseudolikelihood = -51.786158
Iteration 4:   log pseudolikelihood = -50.807979
Iteration 5:   log pseudolikelihood = -50.605784
Iteration 6:   log pseudolikelihood = -50.597127
Iteration 7:   log pseudolikelihood = -50.597111
Refining estimates:
Iteration 0:   log pseudolikelihood = -50.597111

Cox regression -- Efron method for ties

No. of subjects      =           89                Number of obs   =      1350
No. of failures      =           19
Time at risk         =         1350
                                                   Wald chi2(10)   =     63.48
Log pseudolikelihood =   -50.597111                Prob > chi2     =    0.0000

                                 (Std. Err. adjusted for 85 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
          _t |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
USmilasst_~m |  -588.7666    362.613    -1.62   0.104    -1299.475    121.9419
soviet_for~t |   1.396261   .7241917     1.93   0.054    -.0231283    2.815651
USeconaid_~m |   18.69336   9.134952     2.05   0.041     .7891885    36.59754
        newc |   1.225655   .9337635     1.31   0.189    -.6044879    3.055798
     britcol |  -1.398346   .5859547    -2.39   0.017    -2.546796   -.2498962
      open_i |  -.0119838   .0130284    -0.92   0.358    -.0375189    .0135513
GDP_rescaled |  -.6928487   .2684105    -2.58   0.010    -1.218924   -.1667737
   Ethnic_gp |   1.938705   1.191969     1.63   0.104    -.3975106    4.274921
muslim_maj~o |   2.946833   1.011409     2.91   0.004     .9645067    4.929158
christian_~o |   2.395416   1.199988     2.00   0.046     .0434829     4.74735
------------------------------------------------------------------------------

. stphtest, detail;

      Test of proportional hazards assumption

      Time:  Time
      ----------------------------------------------------------------
                  |       rho            chi2       df       Prob>chi2
      ------------+---------------------------------------------------
      USmilasst_~m|      0.16991         0.63        1         0.4261
      soviet_for~t|     -0.08086         0.36        1         0.5498
      USeconaid_~m|      0.08283         0.29        1         0.5878
      newc        |      0.00035         0.00        1         0.9982
      britcol     |      0.07056         0.06        1         0.8013
      open_i      |     -0.16914         1.74        1         0.1867
      GDP_rescaled|      0.00341         0.00        1         0.9788
      Ethnic_gp   |     -0.27861         2.25        1         0.1339
      muslim_maj~o|      0.11655         0.47        1         0.4922
      christian_~o|      0.18797         1.34        1         0.2473
      ------------+---------------------------------------------------
      global test |                      5.08       10         0.8855
      ----------------------------------------------------------------

note: robust variance-covariance matrix used.

. #delimit cr
delimiter now cr
. clear

. 
. **************************************************
. * 6 - Coherent Authoritarian - Education Exchange
. **************************************************
. version 8.2

. clear

. use "C:\a CAROL ISQ  article - 2006\DATA FOR POSTING - ISQ\aut-stset.dta", clear

. *use "aut-stset.dta"
. notes

_dta:
  1.  Data compiled by Carol Atkinson.
  2.  When using cite: Atkinson, Carol. 2006. Constructivist Implications of Material Power: Military Engagement and the Socialization of
      States 1972-2000. International Studies Quarterly. September.

. describe

Contains data from C:\a CAROL ISQ  article - 2006\DATA FOR POSTING - ISQ\aut-stset.dta
  obs:         1,754                          
 vars:            27                          3 May 2006 21:47
 size:       217,496 (97.9% of memory free)   (_dta has notes)
-------------------------------------------------------------------------------
              storage  display     value
variable name   type   format      label      variable label
-------------------------------------------------------------------------------
ccode           float  %9.0g                  
country         str24  %24s                   
abbrev          str8   %8s                    
year            float  %9.0g                  
polity2         float  %9.0g                  Polity2+10, inconsistencies
                                                removed from conversion of
                                                -66, -77, -88
IMETyesno       float  %9.0g                  IMET indicator,
                                                1=attendance/funding that year,
                                                0=not
Ally            float  %9.0g                  Alliance membership with the
                                                US, 1=yes, 0=no
USMil_normfor~l float  %9.0g                  US Military Overseas normalized
                                                by size of foreign military
USmil_sales_n~m float  %9.0g                  US military sales/GDP-current
USmilasst_norm  float  %9.0g                  US military
                                                assistance/GDP-current
USmilact_yesno  float  %9.0g                  1=threat, display, use of
                                                force, war; 0= no militarized
                                                action by US
soviet_foreig~t float  %9.0g                  Countries receiving foreign
                                                assistance from the USSR during
                                                the Cold War
USeconaid_norm  float  %9.0g                  US economic aid/GDP-current
newc            float  %9.0g                  New country in or after 1945
britcol         float  %9.0g                  Former British colony
open_i          float  %9.0g                  Trade openness indicator
GDP_rescaled    float  %9.0g                  GDP_PPP_per_capita / 1000
Ethnic_gp       float  %9.0g                  Percentage of the population
                                                that is of the country's
                                                largest ethnic group
muslim_majori~o float  %9.0g                  Muslim majority indicator,
                                                Muslims are at least 50%=1, 0
                                                otherwise
christian_maj~o float  %9.0g                  Christian majority indicator,
                                                Christians are at least 50%=1,
                                                0 otherwise
LatAm           float  %9.0g                  1=country in Central or South
                                                America, 0=not
mildictator     float  %9.0g                  Military dictatorship
                                                indicator, 1=military dictator,
                                                0=otherwise
ccode1          float  %9.0g                  
_st             byte   %8.0g                  
_d              byte   %8.0g                  
_t              byte   %10.0g                 
_t0             byte   %10.0g                 
-------------------------------------------------------------------------------
Sorted by:  ccode  year

. gen britcolxtime = britcol*_t

. gen newcxtime = newc*_t

. #delimit ;
delimiter now ;
. stcox 
> IMETyesno
> USmilact_yesno 
> soviet_foreign_asst
> USeconaid_norm 
> newc 
> britcol
> open_i
> GDP_rescaled
> Ethnic_gp 
> muslim_majority_yesno 
> christian_majority_yesno
> newcxtime
> britcolxtime,
> bases(consolauth_surv) basehc(consolauth_hazard) basechazard(consolauth_cumhaz) nohr efron schoenfeld(sch*) scaledsch(sca*) cluster(ccode
> );

         failure _d:  autfail1 == 1
   analysis time _t:  timea1
                 id:  ccode1

Iteration 0:   log pseudolikelihood = -356.13462
Iteration 1:   log pseudolikelihood = -333.01676
Iteration 2:   log pseudolikelihood = -331.74005
Iteration 3:   log pseudolikelihood = -331.73252
Iteration 4:   log pseudolikelihood = -331.73252
Refining estimates:
Iteration 0:   log pseudolikelihood = -331.73252

Cox regression -- Efron method for ties

No. of subjects      =          113                Number of obs   =      1498
No. of failures      =           90
Time at risk         =         1516
                                                   Wald chi2(13)   =     38.70
Log pseudolikelihood =   -331.73252                Prob > chi2     =    0.0002

                                 (Std. Err. adjusted for 96 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
          _t |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   IMETyesno |   .8578325   .2459615     3.49   0.000     .3757569    1.339908
USmilact_y~o |   .0474019   .8417793     0.06   0.955    -1.602455    1.697259
soviet_for~t |  -.1649279   .2728628    -0.60   0.546    -.6997291    .3698733
USeconaid_~m |   12.59025   9.426334     1.34   0.182    -5.885023    31.06553
        newc |  -2.236118   .6307898    -3.54   0.000    -3.472444   -.9997932
     britcol |    1.93985   .6260005     3.10   0.002     .7129117    3.166789
      open_i |  -.0071406   .0044375    -1.61   0.108    -.0158381    .0015568
GDP_rescaled |  -.0190023   .0450271    -0.42   0.673    -.1072538    .0692492
   Ethnic_gp |  -.3352742   .4210683    -0.80   0.426    -1.160553    .4900045
muslim_maj~o |  -.2815326   .3128161    -0.90   0.368    -.8946408    .3315756
christian_~o |   .2049397   .2633831     0.78   0.437    -.3112817     .721161
   newcxtime |   .0883738   .0385518     2.29   0.022     .0128138    .1639339
britcolxtime |  -.1129813    .038259    -2.95   0.003    -.1879676    -.037995
------------------------------------------------------------------------------

. stphtest, detail;

      Test of proportional hazards assumption

      Time:  Time
      ----------------------------------------------------------------
                  |       rho            chi2       df       Prob>chi2
      ------------+---------------------------------------------------
      IMETyesno   |      0.06028         0.37        1         0.5414
      USmilact_y~o|     -0.03531         0.20        1         0.6516
      soviet_for~t|      0.07276         0.69        1         0.4076
      USeconaid_~m|      0.07028         0.83        1         0.3628
      newc        |     -0.14185         2.66        1         0.1031
      britcol     |      0.12379         1.69        1         0.1941
      open_i      |      0.06415         0.96        1         0.3278
      GDP_rescaled|     -0.02007         0.06        1         0.7993
      Ethnic_gp   |     -0.07597         0.70        1         0.4015
      muslim_maj~o|     -0.13623         2.37        1         0.1235
      christian_~o|     -0.04203         0.19        1         0.6662
      newcxtime   |      0.15230         2.78        1         0.0953
      britcolxtime|     -0.14194         2.21        1         0.1369
      ------------+---------------------------------------------------
      global test |                      9.56       13         0.7298
      ----------------------------------------------------------------

note: robust variance-covariance matrix used.

. #delimit cr
delimiter now cr
. clear

. 
. ********************************************
. * 7 - Coherent Authoritarian - Ally with US
. ********************************************
. version 8.2

. clear

. use "C:\a CAROL ISQ  article - 2006\DATA FOR POSTING - ISQ\aut-stset.dta", clear

. *use "aut-stset.dta"
. gen britcolxtime = britcol*_t

. gen newcxtime = newc*_t

. #delimit ;
delimiter now ;
. stcox 
> Ally
> USmilact_yesno 
> soviet_foreign_asst
> USeconaid_norm 
> newc 
> britcol
> open_i
> GDP_rescaled
> Ethnic_gp 
> muslim_majority_yesno 
> christian_majority_yesno
> newcxtime
> britcolxtime,
> bases(consolauth_surv) basehc(consolauth_hazard) basechazard(consolauth_cumhaz) nohr efron schoenfeld(sch*) scaledsch(sca*) cluster(ccode
> );

         failure _d:  autfail1 == 1
   analysis time _t:  timea1
                 id:  ccode1

Iteration 0:   log pseudolikelihood = -356.13462
Iteration 1:   log pseudolikelihood = -337.92533
Iteration 2:   log pseudolikelihood = -331.08029
Iteration 3:   log pseudolikelihood =  -330.8556
Iteration 4:   log pseudolikelihood = -330.85546
Refining estimates:
Iteration 0:   log pseudolikelihood = -330.85546

Cox regression -- Efron method for ties

No. of subjects      =          113                Number of obs   =      1498
No. of failures      =           90
Time at risk         =         1516
                                                   Wald chi2(13)   =     42.18
Log pseudolikelihood =   -330.85546                Prob > chi2     =    0.0001

                                 (Std. Err. adjusted for 96 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
          _t |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        Ally |    1.51528   .4172279     3.63   0.000     .6975282    2.333032
USmilact_y~o |  -.2932624   .6947979    -0.42   0.673    -1.655041    1.068516
soviet_for~t |  -.0340301   .2919168    -0.12   0.907    -.6061765    .5381164
USeconaid_~m |   15.97361   10.28086     1.55   0.120    -4.176508    36.12373
        newc |  -1.691241   .5782054    -2.92   0.003    -2.824503   -.5579791
     britcol |   2.130028   .6267684     3.40   0.001      .901584    3.358471
      open_i |  -.0068987   .0043726    -1.58   0.115    -.0154689    .0016715
GDP_rescaled |   -.012064   .0454095    -0.27   0.790     -.101065     .076937
   Ethnic_gp |  -.4319349    .425528    -1.02   0.310    -1.265955    .4020847
muslim_maj~o |  -.1164637   .3176974    -0.37   0.714    -.7391391    .5062118
christian_~o |  -.0699159   .3095405    -0.23   0.821    -.6766041    .5367724
   newcxtime |   .0876728   .0365317     2.40   0.016     .0160719    .1592737
britcolxtime |  -.1172268   .0377681    -3.10   0.002    -.1912509   -.0432028
------------------------------------------------------------------------------

. stphtest, detail;

      Test of proportional hazards assumption

      Time:  Time
      ----------------------------------------------------------------
                  |       rho            chi2       df       Prob>chi2
      ------------+---------------------------------------------------
      Ally        |      0.01258         0.03        1         0.8738
      USmilact_y~o|     -0.03398         0.16        1         0.6934
      soviet_for~t|      0.06803         0.58        1         0.4445
      USeconaid_~m|      0.10744         1.94        1         0.1641
      newc        |     -0.06968         0.53        1         0.4676
      britcol     |      0.08999         0.84        1         0.3598
      open_i      |      0.06074         0.85        1         0.3573
      GDP_rescaled|     -0.00534         0.00        1         0.9451
      Ethnic_gp   |     -0.06137         0.48        1         0.4878
      muslim_maj~o|     -0.08515         1.03        1         0.3106
      christian_~o|      0.03767         0.19        1         0.6594
      newcxtime   |      0.07283         0.55        1         0.4568
      britcolxtime|     -0.13555         1.84        1         0.1751
      ------------+---------------------------------------------------
      global test |                      8.06       13         0.8396
      ----------------------------------------------------------------

note: robust variance-covariance matrix used.

. #delimit cr
delimiter now cr
. clear

. 
. **********************************************************
. * 8 - Coherent Authoritarian - US Military Troop Presence
. **********************************************************
. version 8.2

. clear

. use "C:\a CAROL ISQ  article - 2006\DATA FOR POSTING - ISQ\aut-stset.dta", clear

. *use "aut-stset.dta"
. gen britcolxtime = britcol*_t

. gen newcxtime = newc*_t

. #delimit ;
delimiter now ;
. stcox 
> USMil_normforeignMil
> USmilact_yesno
> soviet_foreign_asst
> USeconaid_norm 
> newc 
> britcol
> open_i
> GDP_rescaled
> Ethnic_gp 
> muslim_majority_yesno 
> christian_majority_yesno
> newcxtime
> britcolxtime,
> bases(consolauth_surv) basehc(consolauth_hazard) basechazard(consolauth_cumhaz) nohr efron schoenfeld(sch*) scaledsch(sca*) cluster(ccode
> );

         failure _d:  autfail1 == 1
   analysis time _t:  timea1
                 id:  ccode1

Iteration 0:   log pseudolikelihood = -356.13462
Iteration 1:   log pseudolikelihood = -348.44049
Iteration 2:   log pseudolikelihood = -335.57235
Iteration 3:   log pseudolikelihood = -334.93525
Iteration 4:   log pseudolikelihood =  -334.7434
Iteration 5:   log pseudolikelihood = -334.74269
Refining estimates:
Iteration 0:   log pseudolikelihood = -334.74269

Cox regression -- Efron method for ties

No. of subjects      =          113                Number of obs   =      1498
No. of failures      =           90
Time at risk         =         1516
                                                   Wald chi2(13)   =     66.30
Log pseudolikelihood =   -334.74269                Prob > chi2     =    0.0000

                                 (Std. Err. adjusted for 96 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
          _t |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
USMil_norm~l |   .6598672   .1863162     3.54   0.000     .2946942     1.02504
USmilact_y~o |   -1.33922    1.11836    -1.20   0.231    -3.531166    .8527266
soviet_for~t |  -.2788873   .2782394    -1.00   0.316    -.8242266    .2664519
USeconaid_~m |   16.12589   9.852708     1.64   0.102    -3.185058    35.43685
        newc |   -2.24536   .6122693    -3.67   0.000    -3.445386   -1.045334
     britcol |     1.8279   .6039091     3.03   0.002     .6442596     3.01154
      open_i |  -.0087064   .0042621    -2.04   0.041      -.01706   -.0003529
GDP_rescaled |  -.0086583   .0427015    -0.20   0.839    -.0923517    .0750351
   Ethnic_gp |   -.333785   .4527847    -0.74   0.461    -1.221227    .5536567
muslim_maj~o |  -.0788193   .3223517    -0.24   0.807     -.710617    .5529783
christian_~o |   .2547331   .2839923     0.90   0.370    -.3018817    .8113478
   newcxtime |   .1042395    .039012     2.67   0.008     .0277773    .1807016
britcolxtime |  -.1011411   .0375278    -2.70   0.007    -.1746943    -.027588
------------------------------------------------------------------------------

. stphtest, detail;

      Test of proportional hazards assumption

      Time:  Time
      ----------------------------------------------------------------
                  |       rho            chi2       df       Prob>chi2
      ------------+---------------------------------------------------
      USMil_norm~l|      0.05217         0.19        1         0.6670
      USmilact_y~o|     -0.02286         0.07        1         0.7884
      soviet_for~t|      0.08386         0.94        1         0.3330
      USeconaid_~m|      0.10073         1.55        1         0.2136
      newc        |     -0.09489         1.23        1         0.2665
      britcol     |      0.09066         0.83        1         0.3614
      open_i      |      0.08943         1.73        1         0.1888
      GDP_rescaled|     -0.01229         0.02        1         0.8883
      Ethnic_gp   |     -0.06054         0.54        1         0.4605
      muslim_maj~o|     -0.08328         0.98        1         0.3224
      christian_~o|     -0.01053         0.01        1         0.9080
      newcxtime   |      0.12020         1.74        1         0.1872
      britcolxtime|     -0.12817         1.75        1         0.1861
      ------------+---------------------------------------------------
      global test |                      8.66       13         0.7981
      ----------------------------------------------------------------

note: robust variance-covariance matrix used.

. #delimit cr
delimiter now cr
. clear

. 
. ************************************************
. * 9 - Coherent Authoritarian - US Miltary Sales
. ************************************************
. version 8.2

. clear

. use "C:\a CAROL ISQ  article - 2006\DATA FOR POSTING - ISQ\aut-stset.dta", clear

. *use "aut-stset.dta"
. gen britcolxtime = britcol*_t

. gen newcxtime = newc*_t

. #delimit ;
delimiter now ;
. stcox 
> USmil_sales_norm
> USmilact_yesno 
> soviet_foreign_asst
> USeconaid_norm 
> newc 
> britcol
> open_i
> GDP_rescaled
> Ethnic_gp 
> muslim_majority_yesno 
> christian_majority_yesno
> newcxtime
> britcolxtime,
> bases(consolauth_surv) basehc(consolauth_hazard) basechazard(consolauth_cumhaz) nohr efron schoenfeld(sch*) scaledsch(sca*) cluster(ccode
> );

         failure _d:  autfail1 == 1
   analysis time _t:  timea1
                 id:  ccode1

Iteration 0:   log pseudolikelihood = -356.13462
Iteration 1:   log pseudolikelihood = -338.13684
Iteration 2:   log pseudolikelihood = -337.12835
Iteration 3:   log pseudolikelihood =  -337.1245
Iteration 4:   log pseudolikelihood =  -337.1245
Refining estimates:
Iteration 0:   log pseudolikelihood =  -337.1245

Cox regression -- Efron method for ties

No. of subjects      =          113                Number of obs   =      1498
No. of failures      =           90
Time at risk         =         1516
                                                   Wald chi2(13)   =     36.03
Log pseudolikelihood =    -337.1245                Prob > chi2     =    0.0006

                                 (Std. Err. adjusted for 96 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
          _t |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
USmil_sale~m |  -23.28434   26.25845    -0.89   0.375    -74.74997    28.18129
USmilact_y~o |    -.50289   .7573142    -0.66   0.507    -1.987198    .9814185
soviet_for~t |  -.3068215   .2757666    -1.11   0.266     -.847314    .2336711
USeconaid_~m |   19.99601   8.979623     2.23   0.026     2.396267    37.59574
        newc |  -2.228891   .5968123    -3.73   0.000    -3.398622   -1.059161
     britcol |   1.756467   .5753778     3.05   0.002     .6287478    2.884187
      open_i |  -.0082999     .00432    -1.92   0.055     -.016767    .0001672
GDP_rescaled |    -.00362   .0404341    -0.09   0.929    -.0828694    .0756294
   Ethnic_gp |  -.3220561   .4471572    -0.72   0.471    -1.198468    .5543559
muslim_maj~o |   -.040867   .3223008    -0.13   0.899    -.6725649    .5908308
christian_~o |   .2743627   .2812926     0.98   0.329    -.2769606    .8256861
   newcxtime |   .1020939   .0386976     2.64   0.008      .026248    .1779399
britcolxtime |  -.0992355   .0360051    -2.76   0.006    -.1698042   -.0286667
------------------------------------------------------------------------------

. stphtest, detail;

      Test of proportional hazards assumption

      Time:  Time
      ----------------------------------------------------------------
                  |       rho            chi2       df       Prob>chi2
      ------------+---------------------------------------------------
      USmil_sale~m|      0.03113         0.05        1         0.8218
      USmilact_y~o|     -0.03092         0.13        1         0.7221
      soviet_for~t|      0.06872         0.63        1         0.4280
      USeconaid_~m|      0.08106         0.90        1         0.3429
      newc        |     -0.08351         0.86        1         0.3550
      britcol     |      0.07637         0.53        1         0.4652
      open_i      |      0.08036         1.38        1         0.2407
      GDP_rescaled|     -0.00387         0.00        1         0.9667
      Ethnic_gp   |     -0.04666         0.30        1         0.5829
      muslim_maj~o|     -0.08848         0.99        1         0.3187
      christian_~o|     -0.02248         0.06        1         0.8061
      newcxtime   |      0.09948         1.18        1         0.2768
      britcolxtime|     -0.11380         1.21        1         0.2718
      ------------+---------------------------------------------------
      global test |                      7.09       13         0.8977
      ----------------------------------------------------------------

note: robust variance-covariance matrix used.

. #delimit cr
delimiter now cr
. clear

. 
. *******************************************************
. * 10 - Coherent Authoritarian - US Military Assistance
. *******************************************************
. version 8.2

. clear

. use "C:\a CAROL ISQ  article - 2006\DATA FOR POSTING - ISQ\aut-stset.dta", clear

. *use "aut-stset.dta"
. gen britcolxtime = britcol*_t

. gen newcxtime = newc*_t

. #delimit ;
delimiter now ;
. stcox 
> USmilasst_norm
> USmilact_yesno 
> soviet_foreign_asst
> USeconaid_norm 
> newc 
> britcol
> open_i
> GDP_rescaled
> Ethnic_gp 
> muslim_majority_yesno 
> christian_majority_yesno
> newcxtime
> britcolxtime,
> bases(consolauth_surv) basehc(consolauth_hazard) basechazard(consolauth_cumhaz) nohr efron schoenfeld(sch*) scaledsch(sca*) cluster(ccode
> );

         failure _d:  autfail1 == 1
   analysis time _t:  timea1
                 id:  ccode1

Iteration 0:   log pseudolikelihood = -356.13462
Iteration 1:   log pseudolikelihood = -338.32642
Iteration 2:   log pseudolikelihood = -337.13091
Iteration 3:   log pseudolikelihood = -337.12382
Iteration 4:   log pseudolikelihood = -337.12382
Refining estimates:
Iteration 0:   log pseudolikelihood = -337.12382

Cox regression -- Efron method for ties

No. of subjects      =          113                Number of obs   =      1498
No. of failures      =           90
Time at risk         =         1516
                                                   Wald chi2(13)   =     38.30
Log pseudolikelihood =   -337.12382                Prob > chi2     =    0.0003

                                 (Std. Err. adjusted for 96 clusters in ccode)
------------------------------------------------------------------------------
             |               Robust
          _t |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
USmilasst_~m |  -20.81042   20.76346    -1.00   0.316    -61.50606    19.88522
USmilact_y~o |  -.5120226   .7432194    -0.69   0.491    -1.968706    .9446607
soviet_for~t |  -.3008292   .2766056    -1.09   0.277    -.8429663    .2413079
USeconaid_~m |   22.11555   9.290713     2.38   0.017      3.90609    40.32502
        newc |  -2.236873   .5977372    -3.74   0.000    -3.408416   -1.065329
     britcol |   1.784344   .5744005     3.11   0.002     .6585395    2.910148
      open_i |  -.0084586   .0043218    -1.96   0.050    -.0169292    .0000119
GDP_rescaled |  -.0069939   .0413324    -0.17   0.866    -.0880039     .074016
   Ethnic_gp |  -.3504927   .4498281    -0.78   0.436     -1.23214    .5311542
muslim_maj~o |  -.0557306   .3169166    -0.18   0.860    -.6768758    .5654146
christian_~o |   .2743076   .2776022     0.99   0.323    -.2697827    .8183979
   newcxtime |   .1038336   .0380033     2.73   0.006     .0293485    .1783187
britcolxtime |  -.1023708   .0359551    -2.85   0.004    -.1728415   -.0319002
------------------------------------------------------------------------------

. stphtest, detail;

      Test of proportional hazards assumption

      Time:  Time
      ----------------------------------------------------------------
                  |       rho            chi2       df       Prob>chi2
      ------------+---------------------------------------------------
      USmilasst_~m|     -0.03027         0.04        1         0.8358
      USmilact_y~o|     -0.02133         0.06        1         0.8091
      soviet_for~t|      0.06736         0.60        1         0.4396
      USeconaid_~m|      0.07697         0.72        1         0.3977
      newc        |     -0.08766         0.96        1         0.3280
      britcol     |      0.07975         0.58        1         0.4462
      open_i      |      0.08624         1.61        1         0.2040
      GDP_rescaled|     -0.01667         0.03        1         0.8539
      Ethnic_gp   |     -0.05087         0.36        1         0.5472
      muslim_maj~o|     -0.08371         0.89        1         0.3465
      christian_~o|     -0.02497         0.07        1         0.7866
      newcxtime   |      0.10650         1.28        1         0.2570
      britcolxtime|     -0.11478         1.22        1         0.2699
      ------------+---------------------------------------------------
      global test |                      7.01       13         0.9015
      ----------------------------------------------------------------

note: robust variance-covariance matrix used.

. #delimit cr
delimiter now cr
. clear

. 
. log close
       log:  C:\a CAROL ISQ  article - 2006\DATA FOR POSTING - ISQ\table1a.log
  log type:  text
 closed on:   3 May 2006, 22:51:00
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